统计与决策2025，Vol.41Issue(14)：35-40,6.DOI:10.13546/j.cnki.tjyjc.2025.14.006
非参数模型在经济学研究中的应用综述
A Review of the Application of Non-parametric Models in Economics Research
摘要
Abstract
Non-parametric models have the characteristics of not making any assumptions about data distribution,not being restricted by data types and scales,and having relatively high flexibility.Therefore,they are widely used in economic research.This paper is based on the introduction of the basic principles of non-parametric models to sorts out the commonly used research methods and tools of non-parametric models,and summarize the application characteristics and selection basis of different meth-ods.And then,based on highly cited domestic and foreign literature in recent years,the paper introduces the application of non-parametric models in economics from seven aspects:macroeconomic data monitoring,financial market transactions and moni-toring,proximity prediction,causal inference,market environment analysis,spatiotemporal data analysis,and other fields.关键词
参数/非参数模型:机器学习/风险研判/因果推断Key words
parameter/non-parametric model/machine learning/risk assessment/causal inference分类
数理科学引用本文复制引用
刘莹..非参数模型在经济学研究中的应用综述[J].统计与决策,2025,41(14):35-40,6.基金项目
广东省科学院打造综合产业技术创新中心行动资金项目(2022GDASZH-2022030601) （2022GDASZH-2022030601）
